Abstract
AbstractAnti-slip control systems are essential for railway vehicle systems with traction. In order to propose an effective anti-slip control system, adhesion information between wheel and rail can be useful. However, direct measurement or observation of adhesion condition for a railway vehicle in operation is quite demanding. Therefore, a proportional–integral controller, which operates simultaneously with a recently proposed swarm intelligence-based adhesion estimation algorithm, is proposed in this study. This approach provides determination of the adhesion optimum on the adhesion-slip curve so that a reference slip value for the controller can be determined according to the adhesion conditions between wheel and rail. To validate the methodology, a tram wheel test stand with an independently rotating wheel, which is a model of some low floor trams produced in Czechia, is considered. Results reveal that this new approach is more effective than a conventional controller without adhesion condition estimation.
Funder
University of Pardubice, Eskisehir Technical University
Newcastle University, Eskisehir Technical University
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Transportation,Computational Mechanics
Reference65 articles.
1. Pichlík P (2018) Strategy of railway traction vehicles wheel slip control. Czech Technical University, Prague
2. Frylmark D, Johnsson S (2003) Automatic slip control for railway vehicles. Dissertation, Linköping University
3. Zirek A (2019) Anti-slip control of traction motor of rail vehicles. Ph.d thesis, University of Pardubice, Pardubice
4. Chen H, Ban T, Ishida M et al (2002) Adhesion between rail/wheel under water lubricated contact. Wear 253(1–2):75–81
5. Gallardo-Hernandez EA, Lewis R (2008) Twin disc assessment of wheel/rail adhesion. Wear 265(9–10):1309–1316
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